Computational Scientist

About Flagship Labs 110 (FL110)

Flagship Labs 110 Inc. (FL110) is a privately held, early-stage technology company developing a new foundation for understanding biology— one built on digital access to the proteome. Our goal isn’t just better data— it’s a new interface between biology and computation, where proteins become part of the digital world. This shift will redefine what’s possible in human health, drug discovery, and systems biology.

We're developing a next-generation platform to make proteins as readable, searchable, and actionable as DNA, using custom-designed sensors and advanced signal interpretation. By combining innovations in molecular sensing and AI, we’re enabling researchers to observe biology with a level of speed and resolution previously out of reach.

FL110 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL110, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

Your Impact at FL110

As a Computational Scientist, Signal Processing, your focus will be on applying signal processing and machine learning methods to large datasets generated by our technology platform. You’ll play a critical role in shaping how we transform the analog world of proteins into structured digital insights.

What You’ll Be Building

• Signal processing methods for high-frequency (kHz) time-series signal data
• ML models for interpreting and classifying signals
• Algorithms for handling variable-length, noisy, high-throughput data streams
• Statistical frameworks to benchmark and validate model and algorithm performance
• Tools and scripts for managing and analyzing large experimental datasets

What You’ll Need to Succeed

• PhD in Electrical/Computer Engineering, Computational Biology, Computational Science, or related field, or Master’s with 5+ years industry experience.
• Experience developing signal processing and machine learning algorithms for time-series data (electrophysiological, neuro, audio, sequencing, etc)
• Proficiency in Python and scientific computing libraries (NumPy, SciPy, Pandas, PyTorch or TensorFlow), and C/C++ for algorithm development and data analysis
• Proven experience in analyzing time-series data, statistical learning, and algorithm design
• Comfort in high-ambiguity R&D environments and experience prototyping algorithms from scratch

Bonus Points For

• 2+ years experience in industry setting
• Previous experience with interpreting sequencing data, and applying base-calling algorithms
• Familiarity with cloud-native workflows (e.g., AWS S3) and large-scale data infrastructure to store, manage, and analyze large experimental datasets

About Flagship

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.